scholarly journals A network model of freight data with spatial dependence

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Aurélien Hazan
Keyword(s):  
Maximum Entropy ◽  
Network Model ◽  
Spatial Dependence ◽  
Single Mode ◽  
Original Model ◽  
Spatial Effects ◽  
Transport Networks ◽  
Weighted Network ◽  
Maximum Entropy Models ◽  
Model Based

Abstract In this article, we analyse the origin–destination matrix arising from freight flows that occur in single-mode transport networks and compare unbiased maximum-entropy models of the corresponding networks. An original model based on earlier results allows to reconstruct a weighted network, from degree and strength sequences, taking distances into account. As an application, the properties of the European railroad freight are analysed in detail in year 2010, with a focus on spatial effects.

scholarly journals Building a transport network model using satellite images

2020 ◽  
pp. 7-18
Author(s):  
M. G. Kozlova ◽  
M. S. Germanchuk
Keyword(s):  
Network Model ◽  
Input Data ◽  
Satellite Images ◽  
Satellite Image ◽  
Transport Network ◽  
Transport Networks ◽  
Advantages And Disadvantages ◽  
Model Based

A method of constructing a transport network using a satellite image and a set of paths as input data is considered. Software has been developed for building a transport network model based on the specified input data. Examples of the program's operation on various sections of transport networks are considered. The advantages and disadvantages of the developed method are described.

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

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